Least Squares Approximation is a mathematical method used to find the best-fitting curve to a given set of data points by minimizing the sum of the squares of the offsets or residuals of points from the curve. It is widely used in regression analysis to estimate the relationships among variables, ensuring the minimal possible error between the observed data and the model's predictions.